444 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions in Hong Kong
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(LLMs). Applicants are invited to contact Prof. Wu Yujie at telephone number 3400 8361 or via email at yu-jie.wu@polyu.edu.hk for further information. Conditions of Service A highly competitive
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disciplines or an equivalent qualification. Applicants are invited to contact Prof. A. Ping Zhang at telephone number 3400 3336 or via email at azhang@polyu.edu.hk for further information. Conditions of
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good command of both written and spoken English and Chinese, with fluency in Putonghua; and (e) have good computer literacy, with some knowledge of IT and audio equipment being an advantage
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initiatives; (e) provide secretarial and administrative services to internal meetings and various committees and working groups; (f) consolidate data and conduct evaluation studies on the relevant
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computer literacy, including Chinese word processing, PowerPoint and Excel. Shortlisted candidates will be invited to sit for a written test. Applicants who have responded to the previous advertisement need
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dedicated to work and have a positive attitude; and (h) have good computer skills, including MS Word, Excel and PowerPoint, etc. Shortlisted candidates will be invited to sit for a written test. Conditions
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at telephone number 2766 7141 or via email at edward-yh.lai@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date
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the project with major tasks including: organising training courses and public education events implementing research and programme evaluation collecting and analyzing data writing technical reports on research
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4067 or via email at x.li@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 31 January 2026
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Responsibilities Drive research activities towards defined goals and priorities within a specified timeline Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data